Mining Research on Vibration Signal Association Rules of Quayside Container Crane Hoisting Motor Based on Apriori Algorithm

2nd International Conference on Design, Materials, and Manufacturing

材料科学;机械制造

Yang, Chencheng^1 ; Tang, Gang^1 ; Hu, Xiong^1

Logistics Engineering College, Shanghai Maritime University, Shanghai

201306, China^1

关键词: Apriori algorithms;    Potential safety hazards;    Quayside container cranes;    Vibration signal;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/220/1/012033/pdf
DOI  :  10.1088/1757-899X/220/1/012033

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Shore-hoisting motor in the daily work will produce a large number of vibration signal data,in order to analyze the correlation among the data and discover the fault and potential safety hazard of the motor, the data are discretized first, and then Apriori algorithm are used to mine the strong association rules among the data. The results show that the relationship between day 1 and day 16 is the most closely related, which can guide the staff to analyze the work of these two days of motor to find and solve the problem of fault and safety.